Asia Pacific Journal of Information Systems (APJIS) is published by the Korea Societyof Management Information Systems (KMIS), which is the largest professional institutein the field of information systems in Korea.

Data analytics and the techniques of artificial intelligence
have been applied to diverse business or decision problems to gain benefits and
extract business insights from the various forms of data. They values
for businesses, organizations and individuals by helping them make better and
smarter decisions. Many consumer products with smart features such as voice
recognition and environmental control have been introduced and penetrated the human
life gradually. Also many services such as chatbots in customer service and roboadvisors
in finance are available due to the integration of data analytics and AI. The
usage of these smart products and data analytics driven products leaves digital
footprint in various forms and we have an opportunity to understand the changes
of human behaviour due to the introduction of the usage. To advance in helping
decision making and automation for business organizations and people, a virtous
cycle of data analytics and AI is needed. Data analytics is one of key parts in
AI research and the usages of AI services and products will produce lots of
data to be analyzed for gaining insights and making feedbacks to the services.
In addition, a way of integrating data analytics and AI research can provide a
breakthrough in both areas. For this special issue, we invite paper submissions
that investigate business applications and impacts of data analytics and AI, or
propose novel way of integrating data analytics and AI. We welcome papers that
address important business or decision problems with novel data analytics
methods in a wide range of contexts, including marketing, healthcare, social
network and media, financial services. Topics
of interest include, but are not limited to:

• Data Analytics & AI• Applications of BI, AI, And Analytics• Innovative Approaches in incorporating Data Analytics and AI Research• Applications of Deep Learning in Business Problems • Methodologies and Processes for Data Analytics and AI Techniques• Integration of Big Data, Analytics and AI Research• Data and Text Mining for Business Analytics• Text Analytics for Consumer Research • Text Analytics for Semantic and Sentiment Analysis• Web Mining and Social Network Analysis• Web Usage Mining and Web Personalization• Addressing Societal Challenges with Intelligence and Analytics• Computational Social Science • Analytics for Healthcare Services• Network Analysis for Open Source Software Development• Sports Analytics• Machine Learning in Finance• Machine Learning Applied to Services• Fraud Analytics for Service Systems• Recommender Systems for Services• Social Network Analytics Applied to Services• Analysis and Prediction of User Behavior in Smart Phone• Next Generation of Analytics and AI Applications in Business • Influences of AI on Human Behavior• Ethical and Privacy Issues in Data/Text/Web Mining• Privacy Issues Resulting from Data Analytics and AI• Policies and Law for Applying Data Analytics and AI • Futuristic Directions for Data/Text/Web Mining in the Era of AI• Case Studies of Applying Data Analytics and AI

Asia Pacific Journal of Information Systems:

Asia Pacific Journal of Information Systems (APJIS) is the premier journal on information systems research in the Asia Pacific region. The journal seeks to advance knowledge about the effective and efficient utilization of information technology by individuals, groups, organizations, society, and nations for the improvement of economic and social welfare.[http://apjis.or.kr/]

APJIS
welcomes proposals for Special Issues that are designed not only to draw
attention to new emerging topics in information systems (IS) but also to encourage
insightful and influential research on topics that fall within the scope of the
journal.

Potential
Guest Editors who would like to propose a Special Issue are invited to prepare
a proposal and then submit it to the Editor-in-Chief through apjis@kmis.or.kr. Then, the Senior Editorial
team will consider whether the proposal is of interest to the journal. When you
submit a proposal, it needs to include at least the following: the title of the
Special Issue, a brief CV of the proposed Guest Editors, a statement of the
Special Issues significance for IS area, and an outline time schedule.

Once
the proposal is approved, the Guest Editors are expected to actively encourage
submissions based on the Call for Papers. Being invited to submit a manuscript
does not mean that publication is guaranteed. The review process by which
Special Issue manuscripts are handled is nearly identical to that of regular
submissions to APJIS.

The
Guest Editors make decisions at all stages of the reviewing process, up to the
final acceptance decision, which is made by the Editor-in-Chief. The Guest
Editors are expected to adhere to all APJIS guidelines,
including the Statement of Editorial Policy, Code of Ethics, Instructions for
Contributors, Guidelines for Reviewers and Style Guide. Submissions, which the Guest
Editors find unsuited to the topic of the Special Issue, but still appropriate
for APJIS in general, are transferred to the regular process, if necessary.

Once
sufficient papers have been accepted for publication, the Guest Editors and the
Editor-in-Chief discuss and agree on the contents and order of the Special
Issue. In addition, the Guest Editors are asked to prepare an editorial
introduction and submit it with accepted papers to the Editor-in-Chief. The
maximum length of a Special Issue is one issue of the Journal. However, a
Special Issue may be smaller depending on the number of accepted manuscripts. Guest
Editors are responsible for ensuring successful completion of the Special
Issue.

If
you have any question, please contact the Editor-in-Chief through apjis@kmis.or.kr.

Special Issue: Information
Systems Research from the Behavioral Economics Perspective

At the turn of the 20th
century, the discipline of economics went through the neoclassical revolution,
built on assumptions about rationality of human behavioral economics.
Behavioral economics (hereafter, BE) is primarily concerned with the bounds of
rationality of economic agents. Behavioral Economics, which was incorporated
the insights of psychology and other social sciences into the economic
behavior, provides many important insights into managerial behavior (Bazerman
and Moore, 2013). It has dealt with the effects of psychological, social,
cognitive, and emotional factors on the economic decisions of individuals and
organizations (Kahneman, 2011). Since the BE is primarily concerned with the
bounds of rationality of economic agents, it covers a ranger of various
concept, methods and fields.

Although many of IS
researchers have realized the importance of an interdisciplinary perspective to
explain some of IS phenomenon, the application of BE research are not well
represented. This special issue promotes papers that show a direct link between
BE and IS field, with a special focus on the effects of IT implementation and
usage on economic agents’ perception, behavior, and decision making process.
Much of what the IS field is about relates to information processing for
decision making. In particular, the current IS environments are facing the important
issues regarding privacy, trust, and security, which are fundamentally
connected to both the BE and IS.

Therefore, this special
issue aims to examine the main applications of BE to Information System
Research, both in classical terms as well as influenced by new emerging
technologies. The BE arises from research that shows human boundary rationality
and failures in acting in “self”—interest, loss aversion, among
others—influence the making of economic choices and decisions. According to
Goes (2013)’s editor comments in MIS Quarterly, along the advent of all
emerging technologies, the decision-making IS environments have amplified and
expanded in complexity, reaching many of individuals and consumers. These
environments are characterized by increasing information richness and
interactive decision making, often resulting in economic transactions:
crowdsourcing and collective intelligence, electronic marketplaces,
personalization and recommendation systems, and so forth.

This special issue
therefore promotes papers that show a direct link between Behavioral Economics
(BE) and IS fields, with a special focus on the effects of IT implementation
and usage on economic agents’ perception, behavior, and decision making
process. We believe that this theoretical perspective explored represent
promising new avenues for much of IS research and we cordially invite you to
submit your valuable work to our special issue in APJIS.

Topics
to be discussed in this special issue include (but are not limited to) the
following:

§Applications of
behavioral economics findings to in various IS fields

§Applied evolutionary
economics and psychology to IS fields

§Boundary rationality
and impact on making decisions in business and organizations

§Cross-cultural
behavioral variation with impact on IT implementation (usage) at
organizational/ individual levels

§Factors influencing
preferences, judgment, choices, decisions and the way they impact IT users’
behavior

§Impact of new
technologies on supply and demand of service industries

§Impact of procedural
rationality in decision making process by leveraging IT

Special
Issue: The Old, the Young and the Sea of IS: New Perspectives on the Development,
Adoption and Application of Information Systems

Introduction

In the past decade,
we have observed the rapidly changing research trend in information systems (IS)
in response to the fast-developing information technologies and the surrounding
environment. Sizzling topics, such as social media and big data, have swept the
field in recent years, and interests in new technologies, such as FinTech and
IoT, are on the rise. It has been of no doubt exciting and meaningful to
discuss their capacity to change our daily lives and influences on the businesses.

However, despite the rapid
movement of IS research trends, more fundamental inquiries including how to
develop, adopt and apply IS still seek for answers. The subject of IS may
change every year, but the process of using it from the user perspective does not,
because it is the combined reflections of the innate human desires and
affections. Understanding ‘how to’ develop, adopt and apply various types of IS
will provide more long-term implications that do not easily change while the
subject of technology changes.

Therefore, this
special issue aims to broadly discuss how various types of IS can be developed,
adopted and applied. The possible topics include classical ones, such as trust
and TAM, as well as recent ones, such as big data and social media. The
submission of papers that discuss classical IS topics from a new perspective are
encouraged. The title of the special issue, The
Old, the Young and the Sea of IS, implies new perspectives (the Young) on
classical topics (the Old) for in-depth understanding (the Sea). We welcome
your submission.

As consumers take greater control over products and services they consume, electronic word ofmouth (eWOM) and user generated content (UGC) are now being considered as one of the mostcritical information sources not only for customers of online goods and services but also for thosewho are involved in product development, marketing, and customer services in online shoppingcontexts. In recent years, with the radically growing popularity of (1) social networking sites (SNS)such as Facebook, Twitter, and KakaoTalk, (2) online review sites (ORS) such as IMDB (movies),Tripadvisor (travel), and Yelp (restaurants), (3) UGC sharing platforms such as YouTube, Picasa, and Pinterest, and (4) online product reviews (OPR) created in e-commerce sites such as Amazon.com, it is now almost impossible for consumers to make better choices without the help of such online services (SNS, ORS, UGC sharing platforms, and OPR).

Most major companies now try to incorporate such eWOM channels by creating and maintainingtheir own product/service review websites, online forums, blogs, and company accounts on SNS in an attempt to increase communication between businesses and customers (or communicationamong consumers). But, only little is known about what kinds of factors contribute to thegeneration and propagation of eWOM and UGC, how eWOM and UGC can change consumersattitudes toward the products and services and even influence their purchasing intentions andbehaviors, how knowledge is created, disseminated and adopted through eWOM communication,and how they can provide significant business value to the providers of products and services.

In the past few years, business analytics has emerged as one of the most popular and important issues for both researchers and practitioners with an explosion of large-scale data such as social media data and real-time and historical data. Managers across all industries are looking for opportunities to increase efficiencies and gain competitive advantage through the analysis of big data using a variety of quantitative techniques such as statistics, operations research methods, data mining, and social mining. We can clearly see that the possibilities of business analytics continue to evolve, driven by the recent advancement in knowledge management and business intelligence. The question that arises is how to best capture the value by combining business analytics and knowledge management. Building on existing work in knowledge management and business intelligence, it is essential to identify how business analytics can be used to address many of the issues currently facing knowledge management in both academia and industrial sectors.

This special issue aims to bring together scholars who investigate organizational performance andsustainable competitive advantage in the domains of knowledge management, business intelligence, business analytics, and big data. It aims to draw together empirically-grounded and theoreticallyinformed analyses of the key issues in contemporary forms of knowledge management and business analytics across various fields and methodologies. Applied research in these areas is also welcome.

Deadline for article submission: 1 December 2014Reviews returned to authors: 1 February 2015Deadline for submission of revised articles: 1 May 2015Final articles selected: 1 July 2015Publication of the APJIS Special Issue: September 2015

Social media describes the collection of web and mobile-based technologies that mediate human and social communication via social network. It enables individuals, groups and communities to gather, communicate and share information, to collaborate or to play. Social media research has become critical as the role of networks and other digital technologies become an anchor for change in societies as well as business domain. By facilitating access to usergeneratedcontents, social media also has become a democratic, personalized, and do-it-yourself platform of communications as well as practical tools for business. Companies can sense crowd opinion on products on social media and are devising innovative methods to attain insights user-generated contents for developing their competitive strategy. Furthermore, citizens share opinions and participate in the government policy development by using social media.

The fundamental objective of this special issue is to assimilate the best practices and insights academic and industry research to support the effective use of social media and to understand how social media impacts individual behavior and organizational/social performance. We expect to identify the key features of social media, unveil psychological and behavioral factors underlying the diffusion and growth of social media, address economic and organizational/societal impacts of social media, and explore different ways to manage user-generated data for effective business/social analyses. The special issue also expects to demonstrate innovative methods of handling data digital and social media to analyze business/social implications.

Information Technologies and Information Systems have also changed the structure of the tourismindustry with new players entering the value chain. The tourism industry consists of a large number of loosely interconnected travel entities that are dependent on one another. IT enabled tourism provides greater value when it helps in collecting and pre-processing information according to personal and situational needs of the travelers. IT suggests that travel companies are predisposed to comprehend correct directions for IT development and that its elements work together in complex tourism ecosystems. For instance, mobile apps connected with social network services as well as with traditional websites allow exchanges to be informed by socially generated information and for feedback to be instantaneous. Mobile applications for a specific destination are increasingly needed for consumer reviews and recommendations of restaurants, transportation information, and supporting the entire tourist life cycle and all business ecosystems. Twitter, facebook, and other social media applications, for example, are used by travel & heritage sites, airlines, and hotels to identify service quality issues and engage in immediate service recovery.

Ultimately, IT can enable better tourism ecosystem health, increasing the destinations’ competitiveadvantage, and enabling travel companies and travelers to better exchange and share vital resources. Tourism and IT convergence is generally recognized as a critical step for creating, storing, and transferring information capital. This convergence is necessary for travel companies as it allows for the creation of valuable profit and healthy tourism business ecosystems. These smart tourism ecosystems become socio-technical networks, in which IT plays the role of an intelligent service platform that regulates the responses of tourism ecosystems to internal and external stimulation Destinations may soon discover that smart tourism ecosystems are indispensable.

Owing to the wide propagation of social network services and smart phones, the
SOLOMO (SOcial-LOcal-MObile) environment has become the common platform of life
and business. Thus, it is a good opportunity for the MIS community to new
businesses by synergistically synthesizing the characteristics of the SOLOMO
platform. To emphasize the importance of new research on this issue, the
official journal of Korea Society of Management Information Systems, APJIS calls
for papers on “Creating Synergy Business on the SOLOMO Media” as a special issue
of 2012.

APJIS invites contributions of both empirical and theoretical
research policy, organizational and/or technical perspectives. The deadline
for article submissions is June 30th, 2012. Please submit your paper to
‘APJIS@kmis.or.kr’, and address any questions to APJIS@kmis.or.kr.